С. В. Мустафина

460 total citations
62 papers, 237 citations indexed

About

С. В. Мустафина is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, С. В. Мустафина has authored 62 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Endocrinology, Diabetes and Metabolism, 17 papers in Cardiology and Cardiovascular Medicine and 13 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in С. В. Мустафина's work include Diet, Metabolism, and Disease (13 papers), Human Health and Disease (12 papers) and Thyroid Disorders and Treatments (9 papers). С. В. Мустафина is often cited by papers focused on Diet, Metabolism, and Disease (13 papers), Human Health and Disease (12 papers) and Thyroid Disorders and Treatments (9 papers). С. В. Мустафина collaborates with scholars based in Russia, United Kingdom and Germany. С. В. Мустафина's co-authors include О. Д. Рымар, Konstantin V. Danilenko, Sofia Malyutina, Г. И. Симонова, М. И. Воевода, Yu. I. Ragino, Д. В. Денисова, Martin Bobák, Olga V. Sazonova and Nikitin IuP and has published in prestigious journals such as SHILAP Revista de lepidopterología, Obesity Facts and Journal of Personalized Medicine.

In The Last Decade

С. В. Мустафина

45 papers receiving 212 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
С. В. Мустафина Russia 9 87 61 56 52 43 62 237
Maria Mizamtsidi Greece 8 66 0.8× 29 0.5× 49 0.9× 40 0.8× 30 0.7× 16 308
Hannah Mathew United States 7 87 1.0× 89 1.5× 22 0.4× 34 0.7× 26 0.6× 12 299
Jarosław Kozakowski Poland 10 123 1.4× 65 1.1× 22 0.4× 29 0.6× 15 0.3× 25 314
Alice Giontella Italy 10 60 0.7× 158 2.6× 75 1.3× 32 0.6× 25 0.6× 28 366
Dragana Komnenov United States 11 84 1.0× 131 2.1× 43 0.8× 72 1.4× 10 0.2× 24 284
Fiona Ivison United Kingdom 8 171 2.0× 56 0.9× 26 0.5× 34 0.7× 35 0.8× 15 303
Lorraine Albon United Kingdom 5 37 0.4× 111 1.8× 29 0.5× 32 0.6× 27 0.6× 10 182
Т. И. Романцова Russia 8 40 0.5× 44 0.7× 34 0.6× 27 0.5× 24 0.6× 39 134
TM Barber United Kingdom 2 99 1.1× 67 1.1× 79 1.4× 56 1.1× 31 0.7× 3 499
Grzegorz Franik Poland 13 63 0.7× 39 0.6× 35 0.6× 40 0.8× 12 0.3× 36 379

Countries citing papers authored by С. В. Мустафина

Since Specialization
Citations

This map shows the geographic impact of С. В. Мустафина's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by С. В. Мустафина with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites С. В. Мустафина more than expected).

Fields of papers citing papers by С. В. Мустафина

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by С. В. Мустафина. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by С. В. Мустафина. The network helps show where С. В. Мустафина may publish in the future.

Co-authorship network of co-authors of С. В. Мустафина

This figure shows the co-authorship network connecting the top 25 collaborators of С. В. Мустафина. A scholar is included among the top collaborators of С. В. Мустафина based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with С. В. Мустафина. С. В. Мустафина is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Мустафина, С. В., et al.. (2025). Epidemiological studies of iodine deficiency in adolescents in Novosibirsk: data from a 15-year observation. Clinical and experimental thyroidology. 21(2). 4–10.
2.
Мустафина, С. В., et al.. (2024). Influence of obesity on the formation and development of cancer. Obesity and metabolism. SHILAP Revista de lepidopterología. 21(2). 205–214.
3.
Каштанова, Е. В., et al.. (2024). Associations of adupocutokine and metaboliv hormone level in young people aged 25-44 years with type 2 diabetes mellitus and abdominal obesity. SHILAP Revista de lepidopterología. 21(1). 14–23.
4.
5.
Мустафина, С. В., et al.. (2023). Associations of C-peptide with cardiometabolic parameters in women aged 25–44 years with different metabolic phenotypes. 19(2). 115–125. 1 indexed citations
6.
Мустафина, С. В., et al.. (2023). The frequency of metabolically healthy and unhealthy phenotypes in women aged 25–44 years with different levels of thyroid-stimulating hormone, prolactin, leptin. SHILAP Revista de lepidopterología. 43(1). 111–123. 2 indexed citations
7.
Мустафина, С. В., et al.. (2022). Evaluation of the relationship between nutrition and the risk of fatal outcomes from cardiovascular diseases in people with type 2 diabetes. SHILAP Revista de lepidopterología. 21(2). 82–89. 1 indexed citations
8.
Рымар, О. Д., et al.. (2021). The frequency of metabolic syndrome and its individual components in women aged 25–45 years, depending on the level of prolactin. SHILAP Revista de lepidopterología. 18(2). 180–189. 2 indexed citations
9.
Рымар, О. Д., С. В. Мустафина, Г. И. Симонова, et al.. (2021). Diabetes type 2: conventional, social and some genetic predictors of cardiovascular death. SHILAP Revista de lepidopterología. 17(2). 39–50. 1 indexed citations
10.
11.
Мустафина, С. В., et al.. (2020). Gender and age related features of metabolically healthy obesity phenotype prevalence. SHILAP Revista de lepidopterología. 19(1). 76–84. 7 indexed citations
12.
13.
Verevkin, Evgeniy G., et al.. (2020). Relationship of actual nutrition with estimates of the cognitive function of the population of Novosibirsk. SHILAP Revista de lepidopterología. 18(4). 63–71.
14.
Рымар, О. Д., et al.. (2020). Association of polymorphisms of genes TCF7L2, FABP2, KCNQ1, ADIPOQ with the prognosis of the development of type 2 diabetes mellitus. SHILAP Revista de lepidopterología. 92(10). 40–47. 5 indexed citations
15.
Malyutina, Sofia, et al.. (2019). The forearm fractures in patients with diabetes and without diabetes in population sample aged over 50 years (Novosibirsk). Problems of Endocrinology. 65(2). 78–87. 2 indexed citations
16.
Мустафина, С. В., et al.. (2019). Iodine status of the population in Russia and the world: what do we have for 2019?. SHILAP Revista de lepidopterología. 15(2). 73–82. 17 indexed citations
17.
Мустафина, С. В., et al.. (2019). Тhe prevalence of metabolically healthy obesity: data from the epidemiological survey in of Novosibirsk. SHILAP Revista de lepidopterología. 15(4). 31–37. 9 indexed citations
18.
Мустафина, С. В., О. Д. Рымар, В. В. Гафаров, et al.. (2019). Obesity phenotypes and the risk of myocardial infarction: a prospective cohort study. SHILAP Revista de lepidopterología. 109–114. 4 indexed citations
19.
Рымар, О. Д., С. В. Мустафина, Г. И. Симонова, Д. В. Денисова, & Nikitin IuP. (2012). Эпидемиологические исследования йодного дефицита и тиреоидной патологии в крупном центре Западной Сибири в 1995–2010 гг. (на примере Новосибирска). 8(2).
20.
IuP, Nikitin, О. Д. Рымар, В. Н. Максимов, et al.. (2008). Полиморфизм A49G гена цитотоксического Т-лимфоцит-связанного иммуноглобулина 4 (CTLA4), связь с аутоиммунными заболеваниями щитовидной железы в популяции Новосибирска. 4(4).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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